神经形态工程学
宽带
油藏计算
计算机科学
材料科学
光电子学
异质结
晶体管
光子学
非线性系统
联轴节(管道)
突触
电子工程
光学计算
人工神经网络
兴奋性突触后电位
突触后电流
等离子体子
突触后电位
工作(物理)
纳米技术
耗散系统
灵活的显示器
利用
微电子机械系统
逻辑门
作者
Li Zhu,Feng Zhang,Pengyu Chen,Xiang Wan,Chee Leong Tan,Huabin Sun,Yong Xu,Shancheng Yan,Gang He,Changjin Wan,Zhihao Yu
出处
期刊:Nano Letters
[American Chemical Society]
日期:2026-01-16
卷期号:26 (4): 1499-1507
被引量:4
标识
DOI:10.1021/acs.nanolett.5c05934
摘要
Neuromorphic visual systems, integrating broadband optical perception, memory, and computation, offer a promising pathway toward next-generation intelligent sensing and brain-inspired computing. Here, we report a TeSeO/InZnO heterojunction optoelectronic synaptic transistor that leverages a narrow-bandgap/wide-bandgap coupling strategy to achieve broadband photoresponse spanning from UV to NIR (360–1550 nm). Under UV–visible–NIR illumination, the device exhibits tunable synaptic functionalities, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and controllable memory transition processes. Moreover, the reservoir computing framework constructed on this device demonstrates a rich dynamic state space, achieving up to 93% accuracy in colored object recognition tasks. Furthermore, it effectively solves second-order nonlinear dynamical equations with a minimal normalized root-mean-square error of 4.19 × 10 –4 . This work establishes a material and device foundation for broadband neuromorphic visual perception and high-dimensional dynamic computing.
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